Induced Technological Change in a Limited Foresight Optimization Model

Arbeitspapier

The threat of global warming calls for a major transformation of the energy system the coming century. Modeling technological change is an important factor in energy systems modeling. Technological change may be treated as induced by climate policy or as exogenous. We investigate the importance of induced technological change (ITC) in GET-LFL, an iterative optimization model with limited foresight that includes learning-by-doing. Scenarios for stabilization of atmospheric CO2 concentrations at 400, 450, 500 and 550 ppm are studied. We find that the introduction of ITC reduces the total net present value of the abatement cost over this century by 3-9% compared to a case where technological learning is exogenous. Technology specific polices which force the introduction of fuel cell cars and solar PV in combination with ITC reduce the costs further by 4-7% and lead to significantly different technological solutions in different sectors, primarily in the transport sector.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Nota di Lavoro ; No. 125.2005

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Technological Change: Choices and Consequences; Diffusion Processes
• Thema: Energy system model ; Limited foresight ; Climate policy ; Endougenous learning ; Technological lock-in ; Klimaveränderung ; Energiewirtschaft ; Technischer Fortschritt ; Lernprozess ; Welt

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Hedenus, Fredrik ; Azar, Christian ; Lindgren, Kristian
• Ereignis: Veröffentlichung
• (wer): Fondazione Eni Enrico Mattei (FEEM)
• (wo): Milano
• (wann): 2005

Weitere Informationen

• Handle: http://hdl.handle.net/10419/74294
• Letzte Aktualisierung: 10.03.2025, 11:42 MEZ